Open-source Claude Code skill diagnoses AI adoption roadblocks

An open-source Claude Code skill called the AI Adoption Playbook helps diagnose where companies are stuck with AI implementation and creates actionable plans. The tool is MIT licensed and available on GitHub.

What it does

The playbook runs inside Claude Code and performs three specific functions:

• Diagnoses where AI adoption is stuck—identifying issues with tooling, culture, measurement, or combinations of these factors
• Builds a 90-day plan with named owners and concrete milestones
• Pressure-tests board narratives before presentation

Development background

The creator spent months interviewing 100+ founders and board members about AI adoption, identifying common patterns: difficulty measuring ROI cleanly, board frustration with vague "we're exploring it" statements, and successful companies having one person who owns AI adoption.

The tool is designed to address these specific pain points by providing structured analysis and planning directly within the Claude Code environment.

Availability and feedback

The playbook is available at https://github.com/adimango/ai-adoption-playbook. The creator is specifically seeking feedback on the Claude Code integration to improve its usefulness for developers working with AI coding agents.